Power grid electricity prediction model in multi-dimensional scenarios. Issue 1 (1st January 2022)

• Record Type: Journal Article
• Authors: Mei, D; Guo, SM; Li, YR
• Is Part Of: Journal of physics. Volume 2158:Issue 1(2022)
• Publication Date: 2022-01-01
• Subjects: Multi-dimensional scene -- Grid electricity -- BP neural network; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2158/1/012010
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The prediction of power grid electricity is the key to ensure the reliable and economic operation of power system. In order to improve the accuracy of power grid electricity forecast, a new power grid electricity forecast model in multi-dimensional scenarios is proposed in this paper. The simulation results show that this method has higher prediction accuracy, and it provides a new idea for the research of power grid electricity prediction